Documents

Lark Documents Skill

Query and retrieve Lark document content via the lark CLI.

Running Commands

Ensure lark is in your PATH, or use the full path to the binary. Set the config directory if not using the default:

lark doc <command>
# Or with explicit config:
LARK_CONFIG_DIR=/Users/yingcong/Code/lark-cli/.lark lark doc <command>

Commands Reference

Search Documents

lark doc search <query> [--owner <user-id>] [--chat <chat-id>] [--type <doc-type>]

Searches for documents by keyword. Returns documents from Drive that match the query.

Options:

• --owner: Filter by owner user ID (can be repeated)
• --chat: Filter by chat ID where document is located (can be repeated)
• --type: Filter by document type (can be repeated). Valid types: doc, sheet, slide, bitable, mindnote, file

Output:

{
  "query": "project plan",
  "results": [
    {
      "token": "doxcntan34DX4QoKJu7jJyabcef",
      "type": "docx",
      "title": "Q4 Project Plan",
      "owner_id": "ou_xxxx"
    }
  ],
  "total": 15,
  "count": 15
}

Note: Maximum 200 results can be returned per search.

List Folder Items

lark doc list [folder-token]

Lists items in a Lark Drive folder. If no folder token is provided, lists items in the root cloud space.

Output:

{
  "folder_token": "fldbcRho46N6MQ3mJkOAuPabcef",
  "items": [
    {
      "token": "doxcntan34DX4QoKJu7jJyabcef",
      "name": "My Document",
      "type": "docx",
      "parent_token": "fldbcRho46N6MQ3mJkOAuPabcef",
      "url": "https://larksuite.com/docx/doxcntan34DX4QoKJu7jJyabcef"
    }
  ],
  "count": 1
}

Item types: doc, docx, sheet, bitable, mindnote, file, folder, shortcut

For shortcuts, includes shortcut_info with target_type and target_token.

Download File from Drive

lark doc download <file_token> -o <output_path>

Downloads a file from Lark Drive. The file token is obtained from doc list or doc search output. Only files with type "file" can be downloaded (not docs, sheets, etc - those are Lark native formats).

Options:

• -o, --output: Output file path (required)

Output:

{
  "file_token": "FG3obxWuaoftXIx0CvxlQAabcef",
  "filename": "report.pdf",
  "content_type": "application/pdf",
  "size": 1048576
}

Note: You must have read access to the file. If you get a 403 error, the file may not be shared with you.

Resolve Wiki Node to Document ID

lark doc wiki <node-token>

Resolves a wiki node token to get the underlying document ID. Required for wiki URLs before fetching content.

Output:

{
  "node_token": "X8Tawq431ifOYSklP2tlamKsgNh",
  "obj_token": "QdqJdegH8oAKmuxqGBBlKjGMgAc",
  "obj_type": "docx",
  "title": "Document Title",
  "space_id": "7384661266473713695",
  "node_type": "origin",
  "has_child": false
}

Use the obj_token value with doc get or doc blocks.

List Wiki Node Children

lark doc wiki-children <node-token>

Lists the immediate child nodes of a wiki node. Useful for browsing wiki hierarchies (e.g., listing all PRDs under a PRDs folder).

Output:

{
  "parent_node_token": "RBCmwZEqhili9ZkKS5fl1Ov2gKc",
  "space_id": "7344964278161604639",
  "children": [
    {
      "node_token": "ABC123",
      "obj_token": "XYZ789",
      "obj_type": "docx",
      "title": "PRD: Feature X",
      "space_id": "7344964278161604639",
      "node_type": "origin",
      "has_child": false
    }
  ],
  "count": 5
}

The command automatically resolves the space_id from the node token. Use obj_token with doc get to read child documents.

Search Wiki Nodes

lark doc wiki-search <query> [--space-id <space-id>] [--node-id <node-id>]

Searches for wiki nodes by keyword. Returns wiki nodes the user has permission to view.

Note: Results are limited to 50 items to avoid API rate limits.

Options:

• --space-id: Filter to a specific wiki space ID
• --node-id: Search within a node and its children (requires --space-id)

Output:

{
  "query": "meeting notes",
  "results": [
    {
      "node_id": "BAgPwq6lIi5Nykk0E5fcJeabcef",
      "obj_token": "AcnMdexrlokOShxe40Fc0Oabcef",
      "obj_type": "docx",
      "title": "Weekly Meeting Notes",
      "url": "https://sample.larksuite.com/wiki/BAgPwq6lIi5Nykk0E5fcJeabcef",
      "space_id": "7307457194084925443"
    }
  ],
  "count": 1
}

Use the obj_token value with doc get to retrieve the document content.

Get Document as Markdown

lark doc get <document-id>

Returns document content as markdown - compact and readable.

Output:

{
  "document_id": "ABC123xyz",
  "title": "My Document",
  "content": "# Heading\n\nDocument content as markdown..."
}

Get Document Block Structure

lark doc blocks <document-id>

Returns full block structure as JSON - useful for programmatic analysis.

Output:

{
  "document_id": "ABC123xyz",
  "title": "My Document",
  "block_count": 42,
  "blocks": [...]
}

Get Document Comments

lark doc comments <document-id>

Retrieves all comments from a document, including replies.

Output:

{
  "file_token": "ABC123xyz",
  "comments": [
    {
      "comment_id": "6916106822734512356",
      "user_id": "ou_cc19b2bfb93f8a44db4b4d6eab",
      "create_time": "2026-01-02T09:00:00+08:00",
      "is_solved": false,
      "is_whole": true,
      "quote": "The quoted text",
      "replies": [
        {
          "reply_id": "6916106822734512357",
          "user_id": "ou_cc19b2bfb93f8a44db4b4d6eab",
          "create_time": "2026-01-02T09:05:00+08:00",
          "text": "This is the reply text"
        }
      ]
    }
  ],
  "count": 1
}

Fields:

• is_whole: true for document-level comments, false for inline/local comments
• is_solved: whether the comment thread has been resolved
• quote: the highlighted text from the document (for inline comments)

Create a New Document

lark doc create --title "My Document" [--folder <folder-token>]

Creates a new empty Lark document. Optionally specify a folder to create it in.

Options:

• --title: Document title (required)
• --folder: Folder token to create the document in (default: root cloud space)

Output:

{
  "success": true,
  "document_id": "BKlmdClegoCan5x5Rzbl73QQgEC",
  "revision_id": 1,
  "title": "My Document"
}

Append Content to a Document

lark doc append <document-id> [flags]

Appends content blocks to an existing document. Supports multiple block types.

Content flags (at least one required):

• --text "content": Append a text paragraph
• --heading "content" --level <1-9>: Append a heading (default level 1)
• --code "content" --language <id>: Append a code block
• --bullet "item": Append bullet list items (repeatable)
• --ordered "item": Append ordered list items (repeatable)
• --todo "item": Append a todo/checkbox item
• --divider: Append a horizontal divider
• --table "ROWSxCOLS": Append a table (e.g., --table 3x4 for 3 rows, 4 columns; header row enabled by default)
• --json: Read raw block JSON from stdin

Other flags:

• --block-id: Parent block ID to append under (default: document root)
• --index: Insertion position (-1=end, 0=beginning)

Examples:

# Add a heading and text
lark doc append ABC123xyz --heading "Section Title" --level 2
lark doc append ABC123xyz --text "Hello from CLI"

# Add a bullet list
lark doc append ABC123xyz --bullet "First item" --bullet "Second item"

# Add a code block (Python)
lark doc append ABC123xyz --code "print('hello')" --language 49

# Add a 3x4 table
lark doc append ABC123xyz --table 3x4

# Add raw blocks via JSON stdin
echo '[{"block_type":2,"text":{"elements":[{"text_run":{"content":"raw"}}]}}]' | lark doc append ABC123xyz --json

Common code language IDs: 1=PlainText, 7=Bash, 22=Go, 29=Java, 30=JavaScript, 49=Python, 53=Rust, 56=SQL, 63=TypeScript, 67=YAML

Output:

{
  "success": true,
  "document_revision_id": 5,
  "blocks": [...]
}

Update a Document Block

lark doc update-block <document-id> <block-id> [flags]

Updates the text content of an existing block. Useful for populating table cells after creating a table, or modifying any text block.

Important: You must target a text block (block_type 2), not a container block. For table cells, each table_cell (block_type 32) contains a child text block — use that child's block ID.

Content flags (one required):

• --text "content": Set plain text content
• --json: Read rich text elements JSON from stdin

Examples:

# Set plain text content
lark doc update-block DOC_ID TEXT_BLOCK_ID --text "Cell content"

# Set rich text (bold, etc.) via JSON stdin
echo '{"elements":[{"text_run":{"content":"Bold text","text_element_style":{"bold":true}}}]}' | \
  lark doc update-block DOC_ID TEXT_BLOCK_ID --json

Table workflow:

1. Create a table: lark doc append DOC_ID --table 3x4
2. Get block structure: lark doc blocks DOC_ID
3. Find the text blocks (block_type 2) inside each table_cell (block_type 32) — use the child block ID, not the cell block ID
4. Update each cell: lark doc update-block DOC_ID TEXT_BLOCK_ID --text "content"

Output:

{
  "success": true,
  "document_revision_id": 6,
  "block": {...}
}

Spreadsheet Commands

List Sheets in a Spreadsheet

lark sheet list <spreadsheet_token>

Lists all sheets (tabs) within a Lark spreadsheet.

Output:

{
  "spreadsheet_token": "T4mHsrFyzhXrj0tVzRslUGx8gkA",
  "sheets": [
    {
      "sheet_id": "abc123",
      "title": "Sheet1",
      "index": 0,
      "row_count": 100,
      "column_count": 10
    }
  ],
  "count": 1
}

Read Sheet Data

lark sheet read <spreadsheet_token> [--sheet <sheet_id>] [--range A1:Z100]

Reads cell values from a Lark spreadsheet.

Options:

• --sheet: Sheet ID to read from (default: first sheet by index)
• --range: Cell range to read (e.g., A1:Z100). Default: all data up to 1000 rows

Output:

{
  "spreadsheet_token": "T4mHsrFyzhXrj0tVzRslUGx8gkA",
  "sheet_id": "abc123",
  "range": "abc123!A1:D10",
  "row_count": 10,
  "column_count": 4,
  "values": [
    ["Header1", "Header2", "Header3", "Header4"],
    ["Value1", "Value2", 123, true]
  ]
}

Note: Cell values preserve their types (string, number, boolean). Empty cells may be omitted from rows.

Extracting IDs from URLs

Important: Wiki URLs require a two-step process - resolve the node first, then fetch the document.

Which Command to Use

Default to doc get - it's 2-3x smaller and sufficient for most tasks.

Block Types Reference

When using doc blocks, key block types:

Output Format

All commands output JSON. Format appropriately when presenting to user.

Error Handling

Errors return JSON:

{
  "error": true,
  "code": "ERROR_CODE",
  "message": "Description"
}

Common error codes:

• AUTH_ERROR - Need to run lark auth login
• SCOPE_ERROR - Missing documents permissions. Run lark auth login --add --scopes documents
• API_ERROR - Lark API issue (often permissions)

Required Permissions

This skill requires the documents scope group. If you see a SCOPE_ERROR, the user needs to add documents permissions:

lark auth login --add --scopes documents

To check current permissions:

lark auth status

If you get an API_ERROR after confirming scopes are granted, the user may need to ensure they have access to the specific document in Lark.

Efficient Extraction with jq and grep

For large documents, use jq and grep to extract specific information without loading everything into context.

Get Document Outline (Headings Only)

# Extract all headings from markdown
lark doc get <id> | jq -r '.content' | grep -E '^#{1,6} '

Get Document Title Only

lark doc get <id> | jq -r '.title'

Count Blocks by Type

# Count how many of each block type
lark doc blocks <id> | jq '.blocks | group_by(.block_type) | map({type: .[0].block_type, count: length})'

Extract All Todo Items

# Get all todo/checkbox blocks (type 17)
lark doc blocks <id> | jq '[.blocks[] | select(.block_type == 17)]'

Search for Specific Content

# Find lines mentioning a keyword
lark doc get <id> | jq -r '.content' | grep -i "keyword"

# With context
lark doc get <id> | jq -r '.content' | grep -i -C 3 "keyword"

Extract Code Blocks

# Get all code blocks (type 14)
lark doc blocks <id> | jq '[.blocks[] | select(.block_type == 14)]'

Get Document Stats

# Quick stats: title, block count
lark doc blocks <id> | jq '{title, block_count}'

Best Practices

When User Shares a Document URL

1. Check the URL type:
   • /docx/ URL: Extract document ID directly
   • /wiki/ URL: Run doc wiki <node-token> first to get obj_token
2. Start with outline: doc get <id> | jq -r '.content' | grep -E '^#{1,6} '
3. Fetch full content only if needed for detailed analysis

For Large Documents

• Get outline first - headings give structure without full content
• Search with grep - find relevant sections before loading everything
• Use jq filters - extract only what's needed
• Documents can be 50-100KB+ as markdown; be selective

Integration with Other Skills

• After reading a document, you can create calendar events based on meeting notes
• Look up mentioned colleagues with the contacts skill

Source: yjwong/lark-cli — distributed by TomeVault.